Triple
T34176093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪港咲洲トンネル |
E876675
|
entity |
| Predicate | 結ぶ地点 |
P178480
|
FINISHED |
| Object | 大阪港エリア |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 大阪港エリア | Statement: [大阪港咲洲トンネル, 結ぶ地点, 大阪港エリア]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 結ぶ地点 Context triple: [大阪港咲洲トンネル, 結ぶ地点, 大阪港エリア]
-
A.
isStartingPointOf
Indicates that something serves as the initial point or origin from which another thing, process, or path begins.
-
B.
locatedAtConfluenceOf
Indicates that something is situated at the meeting point where two or more bodies of water or similar flowing features join together.
-
C.
connectsPeninsulaTo
Indicates a relationship where a geographic feature or structure links a peninsula to another landmass or area.
-
D.
terminusLocatedOn
Indicates that the endpoint or final stop of one entity (such as a route or line) is situated on or at another entity (such as a street, line, or location).
-
E.
branchPoint
Indicates a point in a process, structure, or path where a single preceding element splits into two or more alternative continuations or options.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:54 a.m.